Automatic Segmentation of MR Brain Images With a Convolutional Neural Network.
about
Prediction of cognitive and motor outcome of preterm infants based on automatic quantitative descriptors from neonatal MR brain images.Deep Learning in Medical Image Analysis.Neuroimaging, cardiovascular physiology, and functional outcomes in infants with congenital heart disease.Deep Learning for Brain MRI Segmentation: State of the Art and Future DirectionsDeep convolutional neural network and 3D deformable approach for tissue segmentation in musculoskeletal magnetic resonance imaging.Deep Learning in Medical Imaging: General Overview.Overview of deep learning in medical imaging.Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation.Auto-context Convolutional Neural Network (Auto-Net) for Brain Extraction in Magnetic Resonance Imaging.Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities.Pixel-Level Deep Segmentation: Artificial Intelligence Quantifies Muscle on Computed Tomography for Body Morphometric Analysis.Deep multi-scale location-aware 3D convolutional neural networks for automated detection of lacunes of presumed vascular origin.Refining diagnosis of Parkinson's disease with deep learning-based interpretation of dopamine transporter imaging.An introduction to Deep learning on biological sequence data - Examples and solutions.Evaluation of a deep learning approach for the segmentation of brain tissues and white matter hyperintensities of presumed vascular origin in MRI.A Convolutional Neural Network for Automatic Characterization of Plaque Composition in Carotid Ultrasound.Learning a variational network for reconstruction of accelerated MRI data.A deep learning model integrating FCNNs and CRFs for brain tumor segmentation.Effects of early nutrition and growth on brain volumes, white matter microstructure, and neurodevelopmental outcome in preterm newborns.Deep Learning MR Imaging-based Attenuation Correction for PET/MR Imaging.Convolutional Invasion and Expansion Networks for Tumor Growth Prediction.Anatomy-guided joint tissue segmentation and topological correction for 6-month infant brain MRI with risk of autism.Deep Learning and its Applications in Biomedicine.BrainSegNet: a convolutional neural network architecture for automated segmentation of human brain structures.Evaluation of methods for volumetric analysis of pediatric brain data: The childmetrix pipeline versus adult-based approaches.Learning Based Segmentation of CT Brain Images: Application to Postoperative Hydrocephalic ScansAccurate and High Throughput Cell Segmentation Method for Mouse Brain Nuclei Using Cascaded Convolutional Neural NetworkORCHESTRAL FULLY CONVOLUTIONAL NETWORKS FOR SMALL LESION SEGMENTATION IN BRAIN MRI
P2860
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P2860
Automatic Segmentation of MR Brain Images With a Convolutional Neural Network.
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
@zh
2016年论文
@zh-cn
name
Automatic Segmentation of MR Brain Images With a Convolutional Neural Network.
@en
Automatic Segmentation of MR Brain Images With a Convolutional Neural Network.
@nl
type
label
Automatic Segmentation of MR Brain Images With a Convolutional Neural Network.
@en
Automatic Segmentation of MR Brain Images With a Convolutional Neural Network.
@nl
prefLabel
Automatic Segmentation of MR Brain Images With a Convolutional Neural Network.
@en
Automatic Segmentation of MR Brain Images With a Convolutional Neural Network.
@nl
P2093
P356
P1476
Automatic Segmentation of MR Brain Images With a Convolutional Neural Network.
@en
P2093
Adrienne M Mendrik
Linda S de Vries
Manon J N L Benders
Max A Viergever
P304
P356
10.1109/TMI.2016.2548501
P577
2016-03-30T00:00:00Z
P698
P818
1704.03295